From web development into search.
The work started with web development and grew into multilingual SEO, content, metadata, schema, tracking, and team coordination.
What started as hands-on web and SEO work became a way of looking at growth problems: find the constraint, build the system, then make the next decision clearer.
The work behind Hurtado Analytics & Consulting came from a simple frustration: companies had reports, campaigns, websites, tools, and dashboards, but still struggled to decide what mattered most.
The firm was built around that problem. Not around one channel. Not around one tool. Around the discipline of finding the practical constraint and turning it into an operating plan.
This is the founder's journey that shaped the way the firm works today: from building websites, to managing SEO at scale, to using data science across marketing, sales, and operations to find automation opportunities and support better decisions.
The work started with web development and grew into multilingual SEO, content, metadata, schema, tracking, and team coordination.
Managing SEO across 45+ websites made the need for process, tracking, migrations, technical standards, and prioritization impossible to ignore.
Client work expanded into custom research, AI-assisted analysis, data tracking methods, SOPs, KPI design, and data science for marketing, sales, and operations: finding patterns, spotting automation opportunities, and helping teams make data-driven decisions.
Hurtado Analytics & Consulting now brings those pieces together: SEO growth, marketing and sales automation, data intelligence, operations analysis, and bespoke training for teams that need clearer priorities and better execution systems.
Some teams need to understand why organic growth stalled. Some need their CRM, reporting, and workflows to stop creating friction. Some need data science applied to marketing, sales, and operations so they can find automation opportunities and make better decisions.
The service changes. The logic does not: diagnose the constraint, use the data to understand what matters, design the system, and make the next step executable.
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